
AbstractThe COVID-19 pandemic and response has significantly disrupted fishery supply chains, creating shortages of essential foods and constraining livelihoods globally. Small-scale fisheries (SSFs) are responding to the pandemic in a variety of ways. Together, disruptions from and responses to COVID-19 illuminate existing vulnerabilities in the fish distribution paradigm and possible means of reducing system and actor sensitivity and exposure and increasing adaptive capacity. Integrating concepts from literature on supply chain disruptions, social-ecological systems, human wellbeing, vulnerability, and SSFs, we synthesize preliminary lessons from six case studies from Indonesia, the Philippines, Peru, Canada, and the United States. The SSF supply chains examined employ different distribution strategies and operate in different geographic, political, social, economic, and cultural contexts. Specifically, we ask (a) how resilient have different SSF supply chains been to COVID-19 impacts; (b) what do these initial outcomes indicate about the role of distribution strategies in determining the vulnerability of SSF supply chains to macroeconomic shocks; and (c) what key factors have shaped this vulnerability? Based on our findings, systemic changes that may reduce SSF vulnerability to future macroeconomic shocks include: diversification of distribution strategies, livelihoods, and products; development of local and domestic markets and distribution channels; reduced reliance on international markets; establishment of effective communication channels; and preparation for providing aid to directly assist supply chains and support consumer purchasing power.
Vulnerability index, Scale (ratio), Economics, SocArXiv|Social and Behavioral Sciences|International and Area Studies, Strategy and Management, Social Sciences, Infectious disease (medical specialty), SocArXiv|Social and Behavioral Sciences|Geography, Agricultural and Biological Sciences, Livelihood, Vulnerability (computing), Natural resource economics, Computer security, Food Supply Chains, Pathology, Climate change, Psychology, Business, Disease, bepress|Social and Behavioral Sciences|Environmental Studies, Environmental resource management, Marketing, Psychological resilience, Ecology, Geography, Diversification (marketing strategy), Physics, SocArXiv|Social and Behavioral Sciences|Economics, Life Sciences, Agriculture, Purchasing power, SocArXiv|Social and Behavioral Sciences|Food Studies, FOS: Psychology, Economics, Econometrics and Finance, Archaeology, Thermodynamics, Medicine, Cartography, Economics and Econometrics, 330, bepress|Social and Behavioral Sciences|Economics, COVID-19 research, Frugal Innovation in Emerging Markets, Soil Science, Business, Management and Accounting, Building Resilient Supply Chain, Mathematical analysis, FOS: Economics and business, Impacts of COVID-19 on Global Economy and Markets, FOS: Mathematics, bepress|Social and Behavioral Sciences|International and Area Studies, Business and International Management, Supply Chain Resilience, Biology, Keynesian economics, bepress|Social and Behavioral Sciences|Food Studies, Distribution (mathematics), Risk Management and Vulnerability in Agriculture, Supply chain, bepress|Social and Behavioral Sciences|Geography, Computer science, SocArXiv|Social and Behavioral Sciences|Environmental Studies, Coronavirus disease 2019 (COVID-19), Vulnerability assessment, FOS: Biological sciences, Resilience (materials science), bepress|Social and Behavioral Sciences, Psychotherapist, SocArXiv|Social and Behavioral Sciences, Mathematics
Vulnerability index, Scale (ratio), Economics, SocArXiv|Social and Behavioral Sciences|International and Area Studies, Strategy and Management, Social Sciences, Infectious disease (medical specialty), SocArXiv|Social and Behavioral Sciences|Geography, Agricultural and Biological Sciences, Livelihood, Vulnerability (computing), Natural resource economics, Computer security, Food Supply Chains, Pathology, Climate change, Psychology, Business, Disease, bepress|Social and Behavioral Sciences|Environmental Studies, Environmental resource management, Marketing, Psychological resilience, Ecology, Geography, Diversification (marketing strategy), Physics, SocArXiv|Social and Behavioral Sciences|Economics, Life Sciences, Agriculture, Purchasing power, SocArXiv|Social and Behavioral Sciences|Food Studies, FOS: Psychology, Economics, Econometrics and Finance, Archaeology, Thermodynamics, Medicine, Cartography, Economics and Econometrics, 330, bepress|Social and Behavioral Sciences|Economics, COVID-19 research, Frugal Innovation in Emerging Markets, Soil Science, Business, Management and Accounting, Building Resilient Supply Chain, Mathematical analysis, FOS: Economics and business, Impacts of COVID-19 on Global Economy and Markets, FOS: Mathematics, bepress|Social and Behavioral Sciences|International and Area Studies, Business and International Management, Supply Chain Resilience, Biology, Keynesian economics, bepress|Social and Behavioral Sciences|Food Studies, Distribution (mathematics), Risk Management and Vulnerability in Agriculture, Supply chain, bepress|Social and Behavioral Sciences|Geography, Computer science, SocArXiv|Social and Behavioral Sciences|Environmental Studies, Coronavirus disease 2019 (COVID-19), Vulnerability assessment, FOS: Biological sciences, Resilience (materials science), bepress|Social and Behavioral Sciences, Psychotherapist, SocArXiv|Social and Behavioral Sciences, Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 27 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
